- Differentiate types of research (e.g. experiments, correlational studies, survey research, naturalistic observations, case studies) with regard to purpose, strengths, and weaknesses
- Describe how research design drives the reasonable conclusions that can be drawn (e.g., experiments are useful for determining cause and effect; the use of experimental controls reduces alternative explanation).
- Identify independent, dependent, confounding, and control variables in experimental designs.
- Distinguish between random assignment of participants to conditions in experiments and random selection of participants, primarily in correlational studies and surveys.
- Predict the validity of behavioral explanation based on the quality of research design (e.g., confounding variables limit confidence in research conclusions).
- Distinguish the purposes of descriptive statistics and inferential statistics.
- Apply basic descriptive statistical concepts, including interpreting and constructing graphs and calculating simple descriptive statistics (e.g., measures of central tendency and standard deviations)
- Discuss the value of reliance on operational definitions and measurement in behavioral research.
- Identify how ethical issues inform and constrain research practices.
- Describe how ethical and legal guidelines (e.g., those provided by the American Psychological Association, federal regulations, local institutional review boards) protect research participants and promote sound ethical practice.
- Do not panic!
- Watch the video below and contact me if you have any further questions.